Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for preventing driver distraction from incoming notifications from a mobile device, the method comprising the steps of: determining, by one or more computer processors, a driving condition data, wherein the driving condition data identifies one or more driving actions that require more driver attention and one or more driving actions require that less driver attention; receiving, by one or more computer processors, an indication that a user has a mobile device and the user is driving a vehicle; monitoring, by one or more computer processors, a surrounding environment of the vehicle; receiving, by one or more computer processors, an incoming notification on the mobile device of the user; responsive to receiving an incoming notification on the mobile device of the user, determining, by one or more computer processors, a distraction value, wherein the distraction value is based on the one or more driving actions and the surrounding environment, wherein the distraction value is determined by an algorithm, and wherein the algorithm is selected from the group consisting of summing individual distraction values to determine an overall distraction value and weighting one or more individual distraction values, prior to summing the individual distraction values, to determine the overall distraction value; and modifying, by one or more computer processors, the incoming notification based on the determined distraction value.
A method prevents driver distraction from mobile notifications. First, driving conditions are determined, identifying actions needing more (e.g., intersections) or less (e.g., highway) attention. When the system detects a user is driving with a mobile device, it monitors the vehicle's surroundings. When a notification arrives on the mobile device, a "distraction value" is calculated based on both the driving conditions and the surrounding environment. The distraction value is determined by an algorithm, such as summing individual distraction values, or weighting individual distraction values before summing. The incoming notification is then modified based on this calculated distraction value.
2. The method of claim 1 , wherein the one or more driving actions that require more driver attention are selected from the group consisting of driving through an intersection, driving in heavy traffic with many other vehicles around, driving in poor weather conditions, turning left on a red flashing traffic signal, driving during rush hour, driving a never before driven route, in-car distractions, and situations where a driver may not be paying attention to a road, as monitored by an in-car camera.
The method for preventing driver distraction, as described above, specifies that driving actions requiring more driver attention can include: driving through an intersection, driving in heavy traffic, driving in poor weather, turning left on a flashing red signal, driving during rush hour, driving on an unfamiliar route, in-car distractions, or situations where the driver is inattentive (as monitored by an in-car camera). The distraction value will be higher under these conditions, leading to a more significant notification modification.
3. The method of claim 1 , wherein the one or more driving actions that require less driver attention are selected from the group consisting of waiting at a stop light or in a traffic jam, driving over a bridge with no cross streets or turns, driving in light traffic conditions with few other vehicles around, driving late at night with fewer vehicles on a road, and driving on familiar routes.
The method for preventing driver distraction, as described above, specifies that driving actions requiring less driver attention can include: waiting at a stop light or in a traffic jam, driving over a bridge without intersections or turns, driving in light traffic, driving late at night with fewer vehicles, or driving on familiar routes. The distraction value will be lower under these conditions, allowing for less intrusive notifications.
4. The method of claim 1 , wherein the step of monitoring, by one or more computer processors, a surrounding environment of the vehicle, comprises: monitoring, by one or more computer processors, the surrounding environment using one or more safety systems found in the vehicle, wherein the safety system is selected from the group consisting of a driver drowsiness detection system, an automatic braking system, an infrared night vision system, an adaptive headlight system, a reverse backup sensor system, a backup camera, an adaptive cruise control system, a lane departure warning system, a tire pressure monitoring system, an electronic stability control system, a traction control system, an anti-lock braking system, an electronic brakeforce distribution system, a cornering brake control system, and an emergency brake assist system.
In the method for preventing driver distraction, as described above, monitoring the vehicle's surrounding environment involves using safety systems built into the vehicle. These systems can include: a driver drowsiness detection system, automatic braking system, infrared night vision, adaptive headlights, reverse backup sensors, backup camera, adaptive cruise control, lane departure warning, tire pressure monitoring, electronic stability control, traction control, anti-lock braking, electronic brakeforce distribution, cornering brake control, and emergency brake assist. Data from these systems contributes to the distraction value calculation.
5. The method of claim 1 , wherein the incoming notification is selected from the group consisting of a notification for a phone call, a notification for a short message service text, a notification for a multimedia message service text message, a social media website notification, an e-mail notification, a weather notification, and a news notification.
In the method for preventing driver distraction, as described above, the incoming notification that is being managed can be a notification for a phone call, SMS text message, MMS text message, social media website notification, email notification, weather notification, or news notification. The type of notification influences how the system may modify it.
6. The method of claim 1 , wherein the incoming notification modification type is selected from the group consisting of keeping a default notification of the mobile device, changing an audible notification to a haptic notification, changing an audible notification to a visual notification, changing a haptic notification to a visual notification, silencing an audible notification, silencing a haptic notification, and silencing a visual notification.
In the method for preventing driver distraction, as described above, the incoming notification is modified in a number of ways. The notification modification could be keeping the mobile device's default notification settings. It could also change an audible notification to a haptic notification, or to a visual notification, or change a haptic notification to a visual notification. In some cases, the audible, haptic, or visual notification is silenced entirely.
7. A computer program product for preventing driver distraction from incoming notifications from a mobile device, the computer program product comprising: one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to determine a driving condition data, wherein the driving condition data identifies one or more driving actions that require more driver attention and one or more driving actions require that less driver attention; program instructions to receive an indication that a user has a mobile device and the user is driving a vehicle; program instructions to monitor a surrounding environment of the vehicle; program instructions to receive an incoming notification on the mobile device of the user; responsive to receiving an incoming notification on the mobile device of the user, program instructions to determine a distraction value, wherein the distraction value is based on the one or more driving actions and the surrounding environment wherein the distraction value is determined by an algorithm, and wherein the algorithm is selected from the group consisting of summing individual distraction values to determine an overall distraction value and weighting one or more individual distraction values, prior to summing the individual distraction values, to determine the overall distraction value; and program instructions to modify the incoming notification based on the determined distraction value.
A computer program product prevents driver distraction from mobile notifications. It includes computer-readable storage media and program instructions. The instructions determine driving conditions, identifying actions needing more or less attention. The system detects when a user is driving with a mobile device and monitors the vehicle's surroundings. When a notification arrives, a "distraction value" is calculated based on driving conditions and environment, using an algorithm, such as summing or weighting individual distraction values. The notification is then modified based on the calculated distraction value.
8. The computer program product of claim 7 , wherein the one or more driving actions that require more driver attention are selected from the group consisting of driving through an intersection, driving in heavy traffic with many other vehicles around, driving in poor weather conditions, turning left on a red flashing traffic signal, driving during rush hour, driving a never before driven route, in-car distractions, and situations where a driver may not be paying attention to a road, as monitored by an in-car camera.
The computer program product for preventing driver distraction, as described above, specifies that driving actions requiring more driver attention can include: driving through an intersection, driving in heavy traffic, driving in poor weather, turning left on a flashing red signal, driving during rush hour, driving on an unfamiliar route, in-car distractions, or situations where the driver is inattentive (as monitored by an in-car camera). The distraction value will be higher under these conditions, leading to a more significant notification modification.
9. The computer program product of claim 7 , wherein the one or more driving actions that require less driver attention are selected from the group consisting of waiting at a stop light or in a traffic jam, driving over a bridge with no cross streets or turns, driving in light traffic conditions with few other vehicles around, driving late at night with fewer vehicles on a road, and driving on familiar routes.
The computer program product for preventing driver distraction, as described above, specifies that driving actions requiring less driver attention can include: waiting at a stop light or in a traffic jam, driving over a bridge without intersections or turns, driving in light traffic, driving late at night with fewer vehicles, or driving on familiar routes. The distraction value will be lower under these conditions, allowing for less intrusive notifications.
10. The computer program product of claim 7 , wherein the step of monitoring, by one or more computer processors, a surrounding environment of the vehicle, comprises: monitoring, by one or more computer processors, the surrounding environment using one or more safety systems found in the vehicle, wherein the safety system is selected from the group consisting of a driver drowsiness detection system, an automatic braking system, an infrared night vision system, an adaptive headlight system, a reverse backup sensor system, a backup camera, an adaptive cruise control system, a lane departure warning system, a tire pressure monitoring system, an electronic stability control system, a traction control system, an anti-lock braking system, an electronic brakeforce distribution system, a cornering brake control system, and an emergency brake assist system.
In the computer program product for preventing driver distraction, as described above, monitoring the vehicle's surrounding environment involves using safety systems built into the vehicle. These systems can include: a driver drowsiness detection system, automatic braking system, infrared night vision, adaptive headlights, reverse backup sensors, backup camera, adaptive cruise control, lane departure warning, tire pressure monitoring, electronic stability control, traction control, anti-lock braking, electronic brakeforce distribution, cornering brake control, and emergency brake assist. Data from these systems contributes to the distraction value calculation.
11. The computer program product of claim 7 , wherein the incoming notification is selected from the group consisting of a notification for a phone call, a notification for a short message service text, a notification for a multimedia message service text message, a social media website notification, an e-mail notification, a weather notification, and a news notification.
In the computer program product for preventing driver distraction, as described above, the incoming notification that is being managed can be a notification for a phone call, SMS text message, MMS text message, social media website notification, email notification, weather notification, or news notification. The type of notification influences how the system may modify it.
12. The computer program product of claim 7 , wherein the incoming notification modification type is selected from the group consisting of keeping a default notification of the mobile device, changing an audible notification to a haptic notification, changing an audible notification to a visual notification, changing a haptic notification to a visual notification, silencing an audible notification, silencing a haptic notification, and silencing a visual notification.
In the computer program product for preventing driver distraction, as described above, the incoming notification is modified in a number of ways. The notification modification could be keeping the mobile device's default notification settings. It could also change an audible notification to a haptic notification, or to a visual notification, or change a haptic notification to a visual notification. In some cases, the audible, haptic, or visual notification is silenced entirely.
13. A computer system for preventing driver distraction from incoming notifications from a mobile device, the computer system comprising: one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising: program instructions to determine a driving condition data, wherein the driving condition data identifies one or more driving actions that require more driver attention and one or more driving actions require that less driver attention; program instructions to receive an indication that a user has a mobile device and the user is driving a vehicle; program instructions to monitor a surrounding environment of the vehicle; program instructions to receive an incoming notification on the mobile device of the user; responsive to receiving an incoming notification on the mobile device of the user, program instructions to determine a distraction value, wherein the distraction value is based on the one or more driving actions and the surrounding environment wherein the distraction value is determined by an algorithm, and wherein the algorithm is selected from the group consisting of summing individual distraction values to determine an overall distraction value and weighting one or more individual distraction values, prior to summing the individual distraction values, to determine the overall distraction value; and program instructions to modify the incoming notification based on the determined distraction value.
A computer system prevents driver distraction from mobile notifications. It includes processors, storage media, and program instructions. The instructions determine driving conditions, identifying actions needing more or less attention. The system detects when a user is driving with a mobile device and monitors the vehicle's surroundings. When a notification arrives, a "distraction value" is calculated based on driving conditions and environment, using an algorithm, such as summing or weighting individual distraction values. The notification is then modified based on the calculated distraction value.
14. The computer system of claim 13 , wherein the one or more driving actions that require more driver attention are selected from the group consisting of driving through an intersection, driving in heavy traffic with many other vehicles around, driving in poor weather conditions, turning left on a red flashing traffic signal, driving during rush hour, driving a never before driven route, in-car distractions, and situations where a driver may not be paying attention to a road, as monitored by an in-car camera.
The computer system for preventing driver distraction, as described above, specifies that driving actions requiring more driver attention can include: driving through an intersection, driving in heavy traffic, driving in poor weather, turning left on a flashing red signal, driving during rush hour, driving on an unfamiliar route, in-car distractions, or situations where the driver is inattentive (as monitored by an in-car camera). The distraction value will be higher under these conditions, leading to a more significant notification modification.
15. The computer system of claim 13 , wherein the one or more driving actions that require less driver attention are selected from the group consisting of waiting at a stop light or in a traffic jam, driving over a bridge with no cross streets or turns, driving in light traffic conditions with few other vehicles around, driving late at night with fewer vehicles on a road, and driving on familiar routes.
The computer system for preventing driver distraction, as described above, specifies that driving actions requiring less driver attention can include: waiting at a stop light or in a traffic jam, driving over a bridge without intersections or turns, driving in light traffic, driving late at night with fewer vehicles, or driving on familiar routes. The distraction value will be lower under these conditions, allowing for less intrusive notifications.
16. The computer system of claim 13 , wherein the step of monitoring, by one or more computer processors, a surrounding environment of the vehicle, comprises: monitoring, by one or more computer processors, the surrounding environment using one or more safety systems found in the vehicle, wherein the safety system is selected from the group consisting of a driver drowsiness detection system, an automatic braking system, an infrared night vision system, an adaptive headlight system, a reverse backup sensor system, a backup camera, an adaptive cruise control system, a lane departure warning system, a tire pressure monitoring system, an electronic stability control system, a traction control system, an anti-lock braking system, an electronic brakeforce distribution system, a cornering brake control system, and an emergency brake assist system.
In the computer system for preventing driver distraction, as described above, monitoring the vehicle's surrounding environment involves using safety systems built into the vehicle. These systems can include: a driver drowsiness detection system, automatic braking system, infrared night vision, adaptive headlights, reverse backup sensors, backup camera, adaptive cruise control, lane departure warning, tire pressure monitoring, electronic stability control, traction control, anti-lock braking, electronic brakeforce distribution, cornering brake control, and emergency brake assist. Data from these systems contributes to the distraction value calculation.
17. The computer system of claim 13 , wherein the incoming notification is selected from the group consisting of a notification for a phone call, a notification for a short message service text, a notification for a multimedia message service text message, a social media website notification, an e-mail notification, a weather notification, and a news notification.
In the computer system for preventing driver distraction, as described above, the incoming notification that is being managed can be a notification for a phone call, SMS text message, MMS text message, social media website notification, email notification, weather notification, or news notification. The type of notification influences how the system may modify it.
Unknown
November 21, 2017
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